System Design
Scalability, distributed systems, load balancing, CAP theorem, and architectural patterns.
Scalability Fundamentals
Vertical vs horizontal scaling, load balancers, stateless services, and caching layers.
CAP Theorem & Distributed Systems
Consistency, availability, and partition tolerance trade-offs in distributed databases.
Modular Monoliths
Structuring large applications logically into isolated modules before transitioning to microservices.
AI-Native Orchestration
Designing systems where AI agents handle dynamic load balancing and infrastructure provisioning.
RAG Infrastructure
Architecting Retrieval-Augmented Generation pipelines for massive vector search and real-time inference.
Advanced Distributed Locking
Handling concurrency in distributed systems with consensus algorithms and distributed locks.
Event-Driven Architectures
Building highly scalable systems using Kafka, event sourcing, and asynchronous processing.
Columnar Storage
Optimizing analytical queries and big data processing with columnar databases like ClickHouse and Snowflake.
WebAssembly in Distributed Systems
Leveraging WebAssembly for high-performance edge computing and secure plugin architectures.
Edge Computing & Decentralized CDNs
Moving computation closer to the user with edge functions, global state, and decentralized networks.
Real-Time Data Streaming
Designing high-throughput architectures with Apache Flink, Kinesis, and continuous data aggregation.
Multi-Region Active-Active Deployments
Ensuring high availability with globally distributed databases and conflict resolution strategies.